Latest AI and machine learning research in psychiatry for healthcare professionals.
This paper describes the INSIDE system, a networked robot system designed to allow the use of mobile...
BACKGROUND: A range of rare and common genetic variants have been discovered to be potentially assoc...
OBJECTIVE: This study aimed to establish and assess the Back Propagation Neural Network (BPNN) predi...
BACKGROUND: Depression causes significant physical and psychosocial morbidity. Predicting persistenc...
Converging evidences from different lines of research suggest abnormalities in functional brain conn...
Effective social communication relies, in part, on accurate nonverbal expression of emotion. To eval...
Despite significant recent advances in molecular genetics and neuroscience, behavioral ratings based...
Although much research has been undertaken, the spatial patterns, developmental course, and sexual d...
Mobile technologies offer new opportunities for prospective, high resolution monitoring of long-term...
The intentional distortion of test results presents a fundamental problem to self-report-based psych...
BACKGROUND: Predicting psychotic relapse is one of the major challenges in the daily care of schizop...
We developed algorithms to identify pregnant women with suicidal behavior using information extracte...
Identifying disease genes from a vast amount of genetic data is one of the most challenging tasks in...
The relationship between neurocognition and functioning among patients with schizophrenia is well do...
The Patient Health Questionnaire-9 (PHQ-9) is a validated instrument for assessing depression severi...
Automating the extraction of behavioral criteria indicative of Autism Spectrum Disorder (ASD) in ele...
UNLABELLED: The key to any computational drug repositioning is the availability of relevant data in ...
The ability for artificially reproducing human brain type signals' processing is one of the main cha...
Mental workload assessment is essential for maintaining human health and preventing accidents. Most ...
BACKGROUND: Autism spectrum disorder (ASD) is a heterogeneous group of neurodevelopmental disorders ...
In the recent 5Â years (2014-2018), there has been growing interest in the use of machine learning (M...